Triple
T1319541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | England women’s national football team |
E28184
|
entity |
| Predicate | fifaCode |
P6278
|
FINISHED |
| Object | ENG |
E144181
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ENG | Statement: [England women’s national football team, fifaCode, ENG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ENG Context triple: [England women’s national football team, fifaCode, ENG]
-
A.
ENG
chosen
ENG is the three-letter FIFA country code used to represent the England national football team in international competitions and official records.
-
B.
English
English is a widely spoken West Germanic language that serves as a global lingua franca in education, business, science, and international communication.
-
C.
ES
ES is the ticker symbol for the E-mini S&P 500 futures contract, a widely traded equity index derivative on the Chicago Mercantile Exchange used for hedging and speculating on the S&P 500.
-
D.
EST
EST is the three-letter ISO 3166-1 alpha-3 country code representing Estonia.
-
E.
EG
EG is the standard abbreviation for the Egmont Group, an international network of Financial Intelligence Units that collaborates to combat money laundering and terrorist financing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1780be8819083a9365b8a49305d |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf2b8d988190b0d84e886629ed05 |
completed | March 8, 2026, 12:13 a.m. |
Created at: March 1, 2026, 7:55 p.m.